Upload kopi_nllb.py with huggingface_hub

kopi_nllb.py

@@ -18,9 +18,9 @@ import json
 import datasets
 import zstandard as zstd
 
-from nusacrowd.utils import schemas
-from nusacrowd.utils.configs import NusantaraConfig
-from nusacrowd.utils.constants import (DEFAULT_NUSANTARA_VIEW_NAME,
+from seacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import (DEFAULT_SEACROWD_VIEW_NAME,
                                        DEFAULT_SOURCE_VIEW_NAME, Tasks)
 
 logger = datasets.logging.get_logger(__name__)
@@ -62,7 +62,7 @@ _SUPPORTED_TASKS = [Tasks.SELF_SUPERVISED_PRETRAINING]
 
 _LANGUAGES = ["ind", "jav", "ace", "ban", "bjn", "min", "sun"]
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 _SOURCE_VERSION = "2022.09.13"
 
@@ -70,20 +70,20 @@ _LOCAL = False
 
 _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
 
-_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
+_UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
 
 _URL = "https://huggingface.co/datasets/allenai/nllb"
 
 
-def nusantara_config_constructor(lang, schema, version):
-    """Construct NusantaraConfig"""
-    if schema != "source" and schema != "nusantara_ssp":
+def seacrowd_config_constructor(lang, schema, version):
+    """Construct SEACrowdConfig"""
+    if schema != "source" and schema != "seacrowd_ssp":
         raise ValueError(f"Invalid schema: {schema}")
 
     if lang == "":
         raise ValueError(f"Snapshot is required. Choose one of these Snapshot: {_ALL_CONFIG}.")
     elif lang in _ALL_CONFIG:
-        return NusantaraConfig(
+        return SEACrowdConfig(
             name=f"{_DATASETNAME}_{lang}_{schema}",
             version=datasets.Version(version),
             description=f"KoPI-NLLB with {schema} schema for {lang}",
@@ -108,7 +108,7 @@ class KoPINLLBConfig(datasets.BuilderConfig):
 class KoPINLLB(datasets.GeneratorBasedBuilder):
     """KoPI NLLB corpus."""
 
-    BUILDER_CONFIGS = [nusantara_config_constructor(sn, "source", _SOURCE_VERSION) for sn in _ALL_CONFIG] + [nusantara_config_constructor(sn, "nusantara_ssp", _NUSANTARA_VERSION) for sn in _ALL_CONFIG]
+    BUILDER_CONFIGS = [seacrowd_config_constructor(sn, "source", _SOURCE_VERSION) for sn in _ALL_CONFIG] + [seacrowd_config_constructor(sn, "seacrowd_ssp", _SEACROWD_VERSION) for sn in _ALL_CONFIG]
 
     def _info(self):
 
@@ -121,7 +121,7 @@ class KoPINLLB(datasets.GeneratorBasedBuilder):
                     "source": datasets.Value("string"),
                 }
             )
-        elif self.config.schema == "nusantara_ssp":
+        elif self.config.schema == "seacrowd_ssp":
             features = schemas.self_supervised_pretraining.features
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
@@ -151,7 +151,7 @@ class KoPINLLB(datasets.GeneratorBasedBuilder):
                 for line in f:
                     if line:
                         example = json.loads(line)
-                        if self.config.schema == "nusantara_ssp":
+                        if self.config.schema == "seacrowd_ssp":
                             yield id_, {"id": str(id_), "text": example["text"]}
                             id_ += 1
                         else: